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@@ -328,6 +328,8 @@ def run(data=ROOT / 'data/coco128.yaml', # 'dataset.yaml path' |
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opset=14, # ONNX: opset version |
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verbose=False, # TensorRT: verbose log |
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workspace=4, # TensorRT: workspace size (GB) |
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nms=False, # TF: add NMS to model |
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agnostic_nms=False, # TF: add agnostic NMS to model |
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topk_per_class=100, # TF.js NMS: topk per class to keep |
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topk_all=100, # TF.js NMS: topk for all classes to keep |
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iou_thres=0.45, # TF.js NMS: IoU threshold |
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@@ -381,9 +383,9 @@ def run(data=ROOT / 'data/coco128.yaml', # 'dataset.yaml path' |
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if any(tf_exports): |
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pb, tflite, tfjs = tf_exports[1:] |
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assert not (tflite and tfjs), 'TFLite and TF.js models must be exported separately, please pass only one type.' |
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model = export_saved_model(model, im, file, dynamic, tf_nms=tfjs, agnostic_nms=tfjs, |
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topk_per_class=topk_per_class, topk_all=topk_all, conf_thres=conf_thres, |
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iou_thres=iou_thres) # keras model |
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model = export_saved_model(model, im, file, dynamic, tf_nms=nms or agnostic_nms or tfjs, |
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agnostic_nms=agnostic_nms or tfjs, topk_per_class=topk_per_class, topk_all=topk_all, |
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conf_thres=conf_thres, iou_thres=iou_thres) # keras model |
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if pb or tfjs: # pb prerequisite to tfjs |
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export_pb(model, im, file) |
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if tflite: |
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@@ -414,6 +416,8 @@ def parse_opt(): |
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parser.add_argument('--opset', type=int, default=14, help='ONNX: opset version') |
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parser.add_argument('--verbose', action='store_true', help='TensorRT: verbose log') |
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parser.add_argument('--workspace', type=int, default=4, help='TensorRT: workspace size (GB)') |
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parser.add_argument('--nms', action='store_true', help='TF: add NMS to model') |
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parser.add_argument('--agnostic-nms', action='store_true', help='TF: add agnostic NMS to model') |
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parser.add_argument('--topk-per-class', type=int, default=100, help='TF.js NMS: topk per class to keep') |
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parser.add_argument('--topk-all', type=int, default=100, help='TF.js NMS: topk for all classes to keep') |
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parser.add_argument('--iou-thres', type=float, default=0.45, help='TF.js NMS: IoU threshold') |